- Advice is what we ask for when we already know the answer but wish we didn’t. (Erica Jong)
Disclaimer: The advice here is very generic in nature; I don’t pretend to have any sort of “silver bullet” that will solve all career issues. You will of course need to evaluate many factors, contexts, and needs specific to your own situation, as well as employing a healthy dose of common sense, before making any important career decisions. I would in particular recommend discussing such decisions with your advisor if you have one, as he or she will be familiar with your situation and will likely be able to provide pertinent advice.
- Primary school level
- High school level
- Undergraduate level
- How can one become better at solving mathematical problems? Note that there is more to maths than grades and exams and methods; there is also more to maths than rigour and proofs.
- Don’t base career decisions on glamour or fame. But you should study at different places.
- Does one have to be a genius to succeed at maths?
- Graduate level
- It is important to work hard, and work professionally. But it is also important to enjoy your work.
- Think ahead to understand the way forward; ask yourself dumb questions to understand the way before.
- Attend talks and conferences, even those not directly related to your own work.
- Talk to your advisor, but also take the initiative.
- Don’t prematurely obsess on a single “big problem” or “big theory”.
- Write down what you’ve done, and make your work available. In this regard, I have some advice on how to write and submit papers.
- Postdoctoral level
- Learn and relearn your field, but don’t be afraid to learn things outside your field.
- Learn the limitations of your tools, but also learn the power of other mathematician’s tools. In particular, you should continually aim just beyond your current range.
- In your research, be both flexible and patient.
- You should definitely travel and present your research if given the opportunity. But be considerate of your audience; talks are not the same as papers.
- Be sceptical of your own work, and don’t be afraid to use the wastebasket.
- My thoughts on time management.
More advice:
- John Baez’s page on career advice.
- Po Bronson’s article on the relative importance of innate intelligence versus effort.
- Fan Chung’s advice for graduate students.
- Lance Fortnow’s “Graduate Student Guide“.
- Oded Goldreich’s “On our duties as scientists“.
- Gian-Carlo Rota’s “Ten lessons I wish I had been taught”.
- Ian Stewart’s “Letters to a Young Mathematician“.
- Ravi Vakil’s “For potential students“.
- The Princeton Companion to Mathematics‘ section on advice to younger mathematicians, with contributions by Sir Michael Atiyah, Béla Bollobás, Alain Connes, Dusa McDuff, and Peter Sarnak.
- AMS advice page for new PhDs
- AMS graduate student blog

64 comments
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19 July, 2007 at 7:43 pm
Kristy
Hi!陶教授,my English is limited,I think I shoud express myself in Chinese.If you have interest in my opinio,you may ask friends to translate it.
我是偶然看到有关你获菲尔茨奖的消息,中国国内民众反应很大,都为你骄傲。当然,我们也知道,你认为自己首先是一个澳大利亚人,但这并不妨碍中国人对你的映象,因为我们需要的是一个心目中的榜样与楷模。在网上,我看到不少有关你的正面评价,这是个好现象。
汉字是一种象形字,不同于世界上其它国家的语言。一种语言的诞生可以说是源自于这个民族的一种文化的承传需求。你对中国的文化知之甚少,难以理解它的内涵,但我相信,像你这样的头脑,一定可以在短期内学好中文,那时,你可能会发现,中文带给你的远远要超过你现在所想像的。据说,人在学习汉语和字母语言(for instance English)时,大脑的左右半球工作状态是有些区别的,你若感兴趣不妨查一下有关资料。
说这么多,无非是想建议你有机会学一下中文,我有一种感觉,你学了中文会获益菲浅的(抱歉,我是个喜欢凭直觉做事的人)。
打扰你了,谢谢你抽出时间看这段话。
20 July, 2007 at 1:02 am
Kristy
I’m sorry I cann’t express myself clearly.Don’t mention my mistakes.I just want to advise you.I like math.When I go to university,I will major in math.Thank you very much for your works ,including your blog.At last ,I hope you receive my “sorry”.You see, my Englilsh is so bad,but I will try to overcome it for I love physics and math.Thank you once again and sorry once again!
2 October, 2007 at 7:48 am
Sarkey
So amazing when I find your blog. This is the first time I know another foreign citizen of Chinese origin who got the Fields Prize.
I major in Methmatics in China now and I like maths very much. Next year I’ll graduate. Maybe in the future I’ll go to US for my PhD, wish one day I could meet you there!
28 October, 2007 at 8:37 pm
abraham
I am a student doing B-Tech 3rd semester(8 semester course) at National Institute of Technology,calicut,india.i have a ardent interest in mathematics escpecially algebra nd analysis.I like to pursue mathematics research after my btech degree.pls do advice me on how and where to do it?
thanx in advance..
31 October, 2007 at 5:22 am
shibivasisht
Hi Abraham ,
you have several options considering that you are in the first semester. First thing is to study some linear algebra and little bit of analysis and maybe some abstract algebra the basic stuff that might be covered in a first course. then you can write some exams in your third year for institutes like IMSC in chennai, tifr mumbai, isi in bangalore and kolkata and delhi, harish-chandra research institute in allahabad etc; tifr and imsc also have summer research opportunities which i would strongly recommend. there are several people in places like tifr with an engineering degree. if you want to study in u.s i think you have to take the gre math exam and take several courses in undergraduate math.
best wishes,
Shibi
3 November, 2007 at 9:16 am
sark
I am a doctoral student in the fourth year’s thesis; I have worked for three years on an difficult question in Penalization theory created by the authors “Roynette + Yor + Vallois” :(http://arxiv.org/find/math/1/au:+Vallois_P/0/1/0/all/0/1), it involves several domains of mathematics that I maitraise shortly. Unfortunately, I dont get at any result! .
I do not know what I will do and I do not have any precise broject for my thesis.
so i’m looking for advice for that.
Thanks in advance.
4 November, 2007 at 8:30 pm
abraham
Thanks a lot Shibivasisht for ur kind advice.
8 November, 2007 at 10:06 am
Terence Tao
Dear Sark,
I would recommend that you talk to your thesis advisor on possible alternate projects, either related to your existing project or quite different in nature; I assume in the last three years that you have acquired enough background in your chosen areas of mathematics that you should be aware of other work that is going on and the type of problems to which the tools you have learned may be applied.
8 November, 2007 at 6:41 pm
Shibi Vasisht
Dear Professor Tao,
i would like to know what would be the criterion for admission for non math major undergraduates (say with undergraduate degrees in Engineering) if they would like to apply to Graduate School in Math. Do they have to take lots of math courses or do they also need to demonstrate other (research?) abilities in mathematics. Comments and observations are also solicited from other readers of the blog who are in the know of Graduate admissions .
Thanks,
Shibi
9 November, 2007 at 12:29 pm
sark
Dear Professor Terrence,
First, thank you for your advice and for all what you do for maths.
I agree completely with you, but my advisor doesn’t have any project for my thesis, he tell me to see what is important for other mathematiciens and doing similar things!; but there are a lot of things that interrest peoples. So, I find myself in the situation: what direction of research one can take ? (which need good vision).
Thank you very much Professor.
11 November, 2007 at 7:04 am
gary
Hi Terry,
I was wondering how much physics should a maths student aim to know. I plan on going to graduate school next year, and I’m interested in your take on this.
Thanks,
gary
15 November, 2007 at 8:36 pm
Grad
Dear Prof Tao,
Your blog is extremely well writtten informative and I congratulate you for all the good work.
I will appreciate your point of advice on students who are in the initial years of their grad school (having completed the general background courses) and are trying to focus on more specialised research topics from a broader range of their interests (I find myself in such a situation:)).
Thank you
Grad
31 December, 2007 at 12:27 am
Jodi
Dear Dr. Tao,
This blog is full of information that it nearly overflows with knowledge. Thank you very much!
-Jodi
19 January, 2008 at 8:49 am
Wei
Basically, what Kristy was trying to tell Prof. Tao is that
1) the news that Prof. Tao was awarded the Fields Medal is also reported in China where people consider you as a legend now :).
2) The shape of each Chinese character conveys its meaning, which is very different from English.
3) If you would like to, speaking Mandarin is an easy task with your competence.
4) Studying Chinese language may add something new to your work. It is said that, the corresponding active parts in the human brain are not the same, when using visual languages like Chinese or audio languages like English.
Cheers!
30 January, 2008 at 1:57 am
Thomas Riepe
Here a report on the ways of changing information processing in (university) students. IMO very interesting:
http://www.bl.uk/news/pdf/googlegen.pdf
30 January, 2008 at 1:48 pm
Mehdi
Hi Dr. Tao
I’m an engineer student and your advice is very helpful. I can relate to it not only through engineering, but through competitive soccer.
thanks very much!
6 February, 2008 at 12:40 am
Et par gode links - på engelsk at numb3rs
[...] svarer til matematikkens Nobelpris, i 2006. Han har lavet en blog, hvor han bl.a. har en del med “Career Advice”, han diskuterer sin forskning, der er et indlæg om kvantemekanik og Tomb Raider, der er diskussion [...]
12 March, 2008 at 11:58 pm
Prokrastination oder Blogroll (I): Terence Tao at LEMUREN-Blog
[...] nun in einem Buch zusammenfassen und veröffentlichen wird, so findet man dort neben Hinweisen zu “Career-Advice” und “On Writing” einige Beobachtungen zu vergleichsweise elementaren [...]
14 March, 2008 at 6:25 pm
Anonymous
More advice on the “Principles of Effective Research” by Michael A. Nielsen:
http://www.qinfo.org/people/nielsen/blog/archive/000120.html
(Thanks to Mark C. Wilson for pointing out the link).
31 March, 2008 at 4:17 pm
zh
Do we need to have very good programming skills in order to carry out the mathematical research?
31 March, 2008 at 8:44 pm
Terence Tao
Dear zh: programming is a useful general skill to have, but I think in most areas of pure mathematics it is not necessary (beyond the rudimentary level of skill needed to use mathematical computation packages such as Maple, Mathematica, etc.). In the more numerical parts of applied mathematics programming skills are of course somewhat more essential.
3 April, 2008 at 7:00 pm
ErdosPuskás
This is a wonderful aid. Thank you.
9 April, 2008 at 12:08 am
cd
Hi. Some months (maybe alot of months) ago on this blog, there was a talk about some forthcoming notes concering your thoughts on time/work-management etc. How are those notes and thoughts coming along, if at all?
6 May, 2008 at 2:35 am
sandy
Hi,
I’m a software engineer working for a company in India. I’ve always loved mathematics and now would like to pursue some formal education to understand what’s happening in the area of math. Is there any distant education programmes for pure math? kindly advice.
29 May, 2008 at 6:38 am
kasım
Dear Professor Terrence,
First, thank you for your advice and for all what you do for maths.
I agree completely with you, but my advisor doesn’t have any project for my thesis, he tell me to see what is important for other mathematiciens and doing similar things!; but there are a lot of things that interrest peoples. So, I find myself in the situation: what direction of research one can take ? (which need good vision).
Thank you very much Professor.
7 June, 2008 at 9:42 am
Anonymous
Dear Prof. Tao
Thank you very much for the advice. The links to Rota’s advice and to Connes advice seem to be broken.
Best,
Grétar
7 June, 2008 at 10:41 am
Terence Tao
Thanks for the correction!
23 June, 2008 at 8:06 pm
ブール関数のフーリエ解析 — あほの場所
[...] from Career advice [...]
13 July, 2008 at 6:34 am
Ochan Tokwiny
Dear Prof Tao,
The career advice you give is universally applicable irrespective of whether one is interested in pursuing mathematics or not. I am for example interested in geology, and would like to pursue graduate studies in this area but have found your advice quite useful.
Iam amazed that given your heavy schedule of teaching, research, lectures, etc, you can still find time to write enormous material about career advice.
Thank you for freely sharing your knowledge and experience, for this is the kind of stuff that can give a lot of inspiration to others.
2 August, 2008 at 10:48 am
Nathan
Mr. Tao:
I will be attending graduate school this fall in mathematics. However, I keep second guessing the school I’ll be attending. Have you ever had a student mention that they were afraid they were not going to a “good enough” graduate institution for mathematics? Don’t get me wrong–I look forward to the one I’ll be attending. I just want to make sure I go somewhere that will prepare me as much as possible for my future in mathematics. I just don’t want to fall behind everyone else at the higher ranked institutions, such as MIT, Harvard, and Princeton. Any advice?
-Nathan
8 August, 2008 at 12:05 am
Jon
I hope this helps Nathan, who wondered about going to a “good enough” graduate institution.
I went to graduate school at a state school, under an advisor with recent accolades. He had, in fact, recently been nominated for a Fields Medal for his innovative solution to some old open problem. After the tough four years of my Ph.D. I ended up with a nice thesis but no research postdoc and had to work at a small teaching institution. I worked very hard to solve open questions of a big guy in my field, to try to get my feet back in the door of a big research place. I solved one of these questions only to find out that, since it was asked six years before, that the result was known (but still unpublished to my knowledge) and now considered routine to the big guy and his closest followers. My paper was rejected from a decent journal although quite a few experts found it interesting and worthy of publication. Basically, the big guy squashed the paper!
It is my feeling that if you want to work in a flashy area it is most important to work directly under the leader in that area in order to avoid something like this from happening to you. Often flashy fields move quickly and you can easily waste time proving things that are outdated in the ideas of the top expert very soon. It would be beneficial to know when such things are known as soon as you possibly can. This is my biggest regret about my choice of grad school. I had an opportunity to work with one of the best research groups around and chose not to move there for personal reasons, for example since my advisor at the state school was a “hot new fad”. Now I am quite close to quitting mathematics. You should go to the best place you can. Also, if you are at a good place and your relationship with your advisor doesn’t quite work out, then there will be other reputable people to work with. You won’t find yourself “held hostage” by your advisor. In retrospect, unless you like teaching and don’t mind getting mediocre pay, (i.e. if you are dead-set on a research career), I would either go to one of the flashiest places there are (MIT, Harvard, Berkeley, UCLA…) or simply pick another career. This is harsh, but I think it is true. (See John Baez’s career advice link on Terry’s page.) Perhaps Terry can comment if I am inaccurate in my assessment of the situation.
8 August, 2008 at 12:08 am
Jon
I should qualify that the area I work in is a technical field moving quite quickly at the moment, and this poses many dangers. There are other ways to go. (Atiyah and Singer have an interview online in which Atiyah makes remarks about the dangers of getting “too technical” and working only on a narrow area)
8 August, 2008 at 6:28 am
Jon
As an addendum to my depressed earlier posts… (apologies for those). I have recently been contacted by the “big guy” who suggested a journal for my paper and invited me to visit to learn more about his subject. I guess things aren’t so dire after all, and that the big guys don’t squash papers necessarily. Sorry for the (potentially) bad absolutist advice.
9 August, 2008 at 8:46 am
Nathan
Jon, I thank you for the advice! It was very beneficial. I do think I would have quite a difficult time getting in at MIT, Berkeley, Harvard, UCLA, etc. I will be attending NC State this fall. Perhaps if I don’t like the program, I could transfer (although some places do not like accepting a transfer student). At first, I accepted Maryland at College Park. But after searching for a place to stay and seeing/hearing the crime in the town, I chose to go to NC State.
9 August, 2008 at 11:44 am
John Armstrong
Nathan, the “crime” in College Park is severely overblown. I did my undergraduate work there, I return frequently when I’m in the area, and I’d accept a position at UMD in a heartbeat without any reservations.
24 August, 2008 at 8:09 am
Nathan
I am a first-year graduate student, and one of the areas I’m interested in researching is number theory (specifically primes and their distribution). I find several schools that research number theory, but I have yet to find a professor from one of those schools that has anything to do with prime numbers, the Riemann hypothesis, etc. I’m on the eastern side of the USA. Does anyone know professors on this side that research such topics?
25 August, 2008 at 8:55 am
Kaon
Dear Mr.Tao,
I am a masters student in analysis. I have been searching through nearly all web pages of good programs. What I notice is that differential equations are indispensable for analysis. Most of the current faculty in good programs are working analysis mostly in connection with PDE, ODE, geometry or more algebraic aspects like K-theory (operator algebras etc.). Why is this so? In fact, I was quite disappointed because I thought one could work on a purely abstract type of analysis, I mean without calculations, equations or too much contact with applications. Is this supposed to be the way of analysis? Is analysis supposed to have some connection with applications or with other areas like geometry? or is it just the current shape of research in analysis but it might change in the future?
26 August, 2008 at 2:16 am
Cristi
There is an informative discussion about the current research in analysis here:
http://www.mathlinks.ro/viewtopic.php?t=193477 .
But I’m sure Mr. Tao can tell us even more about this.
16 October, 2008 at 1:52 pm
Anonymous
I took a new academic administrative position but only stayed for four months because my house in another state did not sell. Now that the house has sold and I’m back on the market, but employers seem to be afraid of me.
Help! The situation was out of my control. Sammie
25 October, 2008 at 12:35 pm
Faruk Temur
Dear Prof. Tao
I am a senior student in Mathematics. It was quite surprising for me to see that a very busy mathematician like you have such a great blog and communicate modestly with students and even laymen. I read some of your career advices and found your advices about importance of hardwork, and relevance of experience in solving top class problems very useful. Upon reading your advices, I understood that it is a great mistake to solely concentrate on one big problem and such a mistake may destroy an entire career.
I will graduate at the end of this year and I have applied UCLA to be a PhD student in Mathematics next year. I hope I will be admitted and have a chance to listen lectures of you.
28 October, 2008 at 3:30 pm
The PHA : links for 2008-10-28
[...] Career advice « Terence Tao Advice is what we ask for when we already know the answer but wish we didn’t. (Erica Jong) [...]
26 November, 2008 at 1:28 pm
Jennifer Summers
Your sage advice can be applied to much more than just an academic career issues in mathematics. Your advice is a sound model of how to approach any career, position or even any problem or goal that you might face or choose.
I particulalrly liek the wastebasket idea which is something that I have been using since Tony Robbins recommended it a few years back. The wastebasket approach helps realx you much more and allows ideas to flow more freely, without tha apprehension and prejudging of any ideas that may arise.
17 December, 2008 at 7:27 pm
gregorychang
[...] [via] [...]
29 December, 2008 at 10:40 pm
Anonymous
Hi Terry,
A rather basic question coming from a beginning undergraduate student whose first real analysis class just ended — how does one recall how proofs of basic results are constructed? Do you tend to keep a notebook handy with a small outline of the proofs and the “magic tricks” invoked therein? (I should have done that!) While I was studying for my final exam, I had to go through basic proofs again and understand their construction — even though I had done that for midterms before with success. Heck, some proofs that I actually wrote for previous problem sets weren’t immediately accessible.
Again, this does seem basic. But this also concerns me on the far end of the tunnel since the mathematics that I’ll learn will span different topics (at the undergrad level), and yet it’s very likely I won’t remember much about proofs that I had learned after a relatively short amount of time.
Words of advice would be appreciated.
Thanks,
Jad
30 December, 2008 at 8:30 am
Terence Tao
Dear Jad,
I think this issue will become easier as you advance to higher levels of mathematics, for two reasons. Firstly, when you study more advanced topics, you will come to realise that many proofs in seemingly different areas of mathematics are in fact special cases of a general argument; once one memorises that argument, there is not as much of a need to memorise all the special cases. (For instance, there are many arguments in analysis that boil down to “check the statement for a dense class of test objects first, and then take limits.”) The other is that in more advanced classes, you will spend more of your time doing proofs rather than reading them. This is quite difficult to get a hang of at first – it requires different modes of thought than just rote memorisation and pattern recognition – but with enough experience, you’ll see what makes proofs “work”, and understanding other proofs will become easier.
Actually, one of the best ways to memorise the proof of X is to cover up the proof and try to prove it yourself. Usually, what happens is that you’ll be able to get halfway through the proof but get stuck on a key point. After you get frustrated, this is the time to uncover the proof, at which point you should quickly see the trick or observation that eluded you before, and then the rest of the proof often becomes quite obvious to you. When done this way, the only thing you need to remember to reconstruct the proof is that key insight, which tends to stay in one’s memory precisely because you didn’t have it before.
(The very best ways to learn the proof of X, of course, are to teach about it in a class, or to adapt that proof for one’s own research, but these options are rarely available at the undergraduate level.)
See also my advice pages here and here.
12 January, 2009 at 8:23 pm
Anonymous
I’m sure this blog has a large and diverse readership. However, I would bet a large number of your readers are graduate students and postdocs/junior faculty members. My question is about how to implement your advice, and I think it is probably pretty universal to this group of readers. Most grad students, at some point, reach the conclusion that they are under productive (that they waste too much time doing X, such as: playing video games, watching TV, working out at the gym, talking to office mates, reading politics blogs, playing Frisbee, etc), and that it has come time to buckle down, do all of the things you write about in your career advice pages and, generally, increase their productivity. However, I know of few cases where this has lead to a sustained change in behavior and productivity.
By all accounts you have a near unrivaled level of productivity and time management skill. Did you develop this naturally over time, or did you have a moment (like those described above) where you took decisive measures to improve your productivity? Either way, any thoughts you have on the subject are welcome.
17 January, 2009 at 2:57 am
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[...] and excellent advice on a research career in mathematics. His series of essays are collected in a separate page at this [...]
1 February, 2009 at 2:02 pm
A People’s History of Mathematics « in theory
[...] like very much the philosophy underlying Terry Tao’s essays on how to do mathematics, starting from the opening quotation, and also his essay on what is good [...]
11 February, 2009 at 7:02 pm
Announcement « Liu Xiaochuan’s Weblog
[...] Please visit this page of Tao’s blog by a click :Career advice [...]
10 March, 2009 at 2:53 pm
Career advice from the Fields medalists and some other mathematicians « Academic Career Links
[...] Advice from the blog of Terence Tao [...]
10 March, 2009 at 4:24 pm
a shy student
Dear Prof. Tao,
I am a Ph. D student in mathematics. I would like to learn answer of these following questions:
1) Should our first paper be originial? namely do we have to prove something new to publish? Genarally, when we start to do research, at the beginning, everything seems very confusing, after a while, we start to figure out what is going on but still we are in the level of proving a new lemma or theorem. In that case should we write survey type papers and try to publish it?
2) do you believe that there is an age limit for being mathematician?Some people say that ”if you did not do anything so far, forget it, you can not do after that” is that right? I believe that passion and hard working are more important but sometimes I tend to believe them.
I really want to thank you with my all heart. I am visiting your blog everyday, you give us hope and motivation. We appreciate your work.
God bless you..
15 March, 2009 at 12:57 pm
Anonymous
Dear Prof. Tao,
Which method would you say is a good method when studying a new subject (undergrad & grad level)? To make this more precise:
During the class pretty much everyone take notes. However, after that people differ.
1. Some people take their notes and starts reading them just like that, without having a pen or piece of paper at hand.
2. Others have some extra scratch paper and take notes which includes one or several of the following:
2a. Some type down all the definitions.
2b. Some try to solve theorems, propositions etc before reading the solutions.
2c. Some work out their own examples.
And we can go further:
2d. Some retype all the notes so that it looks nice, tidy and is easy readable.
2e. Something else.
Now, doing 2d. takes you through the notes slowly and you learn a lot. But it also takes much time, too much time if you are in a hurry. 1 is a fast method, but I’ve never done that and I am not sure how much one would remember.
Which method that is “the best” probably differ from person to person. But if you’ve been doing math for a long time I am sure one has picked up a few neat study habits. So I would be pleased if I could hear a few tips from yourself and other readers.
Thank you
20 March, 2009 at 3:33 am
Career Advice from the Nobel Prize Winners « Academic Career Links
[...] The above materials make for an interesting comparison with the advice from the Fields medal winner Terence Tao. [...]
23 March, 2009 at 6:16 am
How to Succeed in Science « Academic Career Links
[...] I especially recommend the talk You and Your Research by Richard Hamming, and the advice from Terence Tao, James D. Watson, and Steven [...]
27 March, 2009 at 6:52 pm
Career advice for the (would-be) graduate students « Academic Career Links
[...] subject is here. For the graduate students in mathematics, Terence Tao provides excellent advice here, and there is a whole new blog on the subject. See also my earlier posts, especially here and [...]
29 March, 2009 at 12:31 am
倡议 « Liu Xiaochuan’s Weblog
[...] 更多的请登录Terry本人的博客中的一页:Career advice [...]
31 March, 2009 at 1:30 pm
Academic Career Links
One more (perhaps obvious) bit of career advice: build your own network of colleagues and collaborators.
4 April, 2009 at 5:23 pm
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[...] to give good talks and how to manage career in general. Here are some of them: Terry Tao’s post, Lance Fortnow’s post and Michael Ernst’s page. They also have great career advice [...]
12 April, 2009 at 7:14 am
Scientists of KATG
[...] [...]
26 April, 2009 at 3:40 am
How to do Research « Unruled Notebook
[...] and excellent advice on a research career in mathematics. His series of essays are collected in a separate page at this [...]
4 May, 2009 at 9:34 am
Vijay
Dear sir,
actually i recently came across ur name in one of the forums.iam currently in INDIA doing by 12th standard ie my last year of schooling and next year i have to join a college.i am very very deeply interested in MATHEMATICS and its my passion.i want to be a mathematician,though i haven’t even passed the REGIONAL MATHEMATICS OLYMPIAD thats conducted in the country.but the problem is i have no idea as to what i should be working so that i can become a mathematician.i have no clue on where i have to join for my under- graduation or what course i have to go for. but the thing is that i very much love the subject and i would practically do anything to achieve my goal.please help me and advice me on which books i should study and which fields should i develop my knowledge more on.
please advice me sir,please.
vijay
5 May, 2009 at 1:19 am
Amit
@Vijay,
ISI have good undergraduate program in Mathematics. Besides there is CMI [Chennai] which is also good.
23 May, 2009 at 10:43 pm
Travel Tips for the Conferencing Undergraduate: Part I « Turtle Soup
[...] 2) Prof. Terence Tao’s career advice on research: http://terrytao.wordpress.com/career-advice/ 3) Cornell University’s FAQ on undergraduate research: [...]
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[...] Tao’s blog discusses many mathematical topics, it also has a Career Advice section. The advice targets aspiring mathematician but it’s applicable to other fields as well. I [...]